Feature Engineering Course
Master feature engineering for pump failure prediction by transforming raw sensor data into robust features, covering data prep, encoding, pipelines, and validation techniques to enhance model performance.
flexible workload from 4 to 360h
valid certificate in your country
What will I learn?
This Feature Engineering Course teaches you how to transform raw pump sensor data into strong predictive features. You will learn data validation, timestamp alignment, handling missing values, detecting outliers, and creating pipelines that prevent leakage. Build time-based, aggregated, and categorical features, apply encoding, selection, and dimensionality reduction, and perform practical diagnostics to boost 7-day failure prediction performance quickly and reliably.
Elevify advantages
Develop skills
- Time-series features: build rolling, trend, and seasonal signals for failures.
- Categorical encodings: apply one-hot, target, and frequency schemes correctly.
- Sensor data prep: clean, align, and resample noisy pump telemetry fast.
- Leakage-safe pipelines: design time-aware CV, imputation, and feature logic.
- Feature validation: use SHAP, MI, and drift checks to keep models reliable.
Suggested summary
Before starting, you can change the chapters and workload. Choose which chapter to start with. Add or remove chapters. Increase or decrease the course workload.What our students say
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